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US Patent 11513938 Determining capacity in storage systems using machine learning techniques

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11513938
Date of Patent
November 29, 2022
Patent Application Number
16729841
Date Filed
December 30, 2019
Patent Citations
‌
US Patent 10949116 Storage resource capacity prediction utilizing a plurality of time series forecasting models
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US Patent 10250684 Methods and systems for determining performance capacity of a resource of a networked storage environment
‌
US Patent 10564998 Load balancing using predictive VM-based analytics
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US Patent 10216458 Modeling the effects of switching data storage resources through data storage pool tier performance capacity and demand gap analysis
Patent Primary Examiner
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Jorge A Chu Joy-Davila
CPC Code
‌
G06F 3/0604
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G06F 3/0631
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G06F 3/0644
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G06F 9/542
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G06F 11/3034
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G06F 3/067
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G06F 3/0653
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G06F 11/0727
...

Methods, apparatus, and processor-readable storage media for determining capacity in storage systems using machine learning techniques are provided herein. An example computer-implemented method includes obtaining capacity-related data from a storage system; forecasting, for a given temporal period, capacity of one or more storage objects of the storage system by applying machine learning techniques to at least a portion of the capacity-related data; aggregating the forecasted capacity for at least portions of the one or more storage objects; determining, based on the aggregated forecasted capacity of the storage objects, whether at least a portion of the storage system will run out of capacity in connection with the given temporal period; and performing one or more automated actions based at least in part on the determination as to whether the at least a portion of the at least one storage system will run out of capacity.

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